Statistics & Computer Networking Assessment

Department Goals

  1. The department will study the recommendations of the American Statistical Association and the Association for Computing Machinery and will modify programs and courses to reflect these recommendations, SCSU needs, and departmental expertise and resources.
  2. The department will continue to make teaching excellence a priority.
  3. The department will encourage faculty to pursue new ideas in statistics and computer networking through study, applied and/or theoretical research and the maintenance of professional contacts beyond campus. Faculty will also be encouraged to pursue continued education and retraining, an enthusiasm for working with other faculty across campus on joint projects, and a willingness to accept additional burdens on occasion in order to accommodate the needs of other faculty engaged in scholarly and creative activity.
  4. The department will attempt to recruit faculty who have appropriate credentials and who are committed to our vision of excellence.
  5. The department will continue to work with other departments across campus to incorporate statistical and CNA prerequisites into their curricula.
  6. The department will develop and implement a program to attract and retain qualified students. In addition, we will continually revise and update placement and advising techniques and work with high schools, community colleges, and other institutions to clarify and articulate our curriculum standards.
  7. The department will continue to identify and request funding for computing facilities necessary to support our majors, minors, literacy programs and service courses for the university community.
  8. The department will continue to encourage faculty to provide services outside of the department.
  9. The department will begin offering the approved Master’s Degree program in applied statistics, as quickly as possible.
  10. The department will recruit and seek additional resources and personnel to further support the high demand Network Modeling and Simulation major.
  11. The department will seek complete approval for, and implement the bachelor program in Computer Networking Security.

Student Learning Outcomes

April 2006

Network Modeling and Simulation

  1. Students will configure operating system and network programs, using the language of a software package or a general-purpose programming language.
  2. Students will write correct, well documented and readable programs.
  3. Students will describe and use microcomputer operating systems.
  4. Students will identify security weaknesses within open systems interconnection layers and implement security controls for operating systems and communication networks.
  5. Students will use performance requirements and simulations to design data networks.
  6. Students will use statistical software to manipulate data and analyze them descriptively and inferentially.
  7. Students will perform statistical procedures and interpret results for datasets with one or more variables.
  8. Students will use probability models and simulation to solve problems.
  9. Students will analyze data from well-designed experiments and surveys.

CNA Network Security Information Systems Major

  1. Students will create, analyze, and modify security policy.
  2. Students will design and implement secure network architecture based on security policies.
  3. Students will demonstrate understanding of security laws and ethics.
  4. Students will identify and correct security weaknesses in operating systems, networks, and applications.
  5. Students will identify and respond appropriately to security breaches.
  6. Students will demonstrate understanding of cryptography and other theoretical foundations of security.
  7. Demonstrate knowledge of security protocols used at each layer of the TCP/IP model and how they relate to form a layered security architecture.

Statistics Major

  1. Students will use statistical software to manipulate data and analyze them descriptively and inferentially.
  2. Students will perform statistical procedures and interpret results for datasets with one or more variables.
  3. Students will use probability models and simulation to solve problems.
  4. Students will analyze data from well-designed experiments and surveys.

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